text: /*
   * Copyright (c) 2017 ARM Limited.
   *
   * SPDX-License-Identifier: MIT
   *
   * Permission is hereby granted, free of charge, to any person obtaining a copy
   * of this software and associated documentation files (the "Software"), to
   * deal in the Software without restriction, including without limitation the
   * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
   * sell copies of the Software, and to permit persons to whom the Software is
   * furnished to do so, subject to the following conditions:
   *
   * The above copyright notice and this permission notice shall be included in all
   * copies or substantial portions of the Software.
   *
   * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
   * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
   * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
   * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
   * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
   * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
   * SOFTWARE.
   */
  #ifndef __ARM_COMPUTE_NENORMALIZATIONLAYER_H__
  #define __ARM_COMPUTE_NENORMALIZATIONLAYER_H__
  
  #include "arm_compute/runtime/IFunction.h"
  
  #include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
  #include "arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h"
  #include "arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h"
  #include "arm_compute/runtime/Tensor.h"
  
  #include "arm_compute/core/Types.h"
  
  namespace arm_compute
  {
  class ITensor;
  
  /** Basic function to simulate a normalization layer. This function calls the following NEON kernels:
   *
   * -# @ref NEPixelWiseMultiplicationKernel
   * -# @ref NEFillBorderKernel
   * -# @ref NENormalizationLayerKernel
   *
   */
  class NENormalizationLayer : public IFunction
  {
  public:
      /** Default constructor */
      NENormalizationLayer();
      /** Set the input and output tensors.
       *
       * @param[in]  input     Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
       *                       and an optional 4th dimension for batch of inputs. Data type supported: F32. Number of channels must be 1.
       * @param[out] output    Destination with the same dimensions, data type and number of channels of  @p input
       * @param[in]  norm_info Normalization layer information like the normalization type, normalization size and other parameters.
       */
      void configure(const ITensor *input, ITensor *output, NormalizationLayerInfo norm_info);
  
      // Inherited methods overridden:
      void run() override;
  
  private:
      NENormalizationLayerKernel      _norm_kernel;     /**< Normalization layer kernel */
      NEPixelWiseMultiplicationKernel _multiply_kernel; /**< Pixel multiplication kernel */
      NEFillBorderKernel              _border_handler;  /**< Kernel to handle  borders */
      Tensor                          _input_squared;   /**< The intermediate buffer which stores results of squaring input */
  };
  }
  #endif /* __ARM_COMPUTE_NENORMALIZATIONLAYER_H__ */
  